Departments of Obstetrics and Gynecology and Pediatrics, University of Cincinnati College of Medicine, and the Department of Biomedical Informatics and the Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Obstet Gynecol. 2020 Mar;135(3):559-568. doi: 10.1097/AOG.0000000000003696.
To develop and validate a predictive risk calculator for cesarean delivery among women undergoing induction of labor.
We performed a population-based cohort study of all women who had singleton live births after undergoing induction of labor from 32 0/7 to 42 6/7 weeks of gestation in the United States from 2012 to 2016. The primary objective was to build a predictive model estimating the probability of cesarean delivery after induction of labor using antenatal factors obtained from de-identified U.S. live-birth records. Multivariable logistic regression estimated the association of these factors on risk of cesarean delivery. K-fold cross validation was performed for internal validation of the model, followed by external validation using a separate live-birth cohort from 2017. A publicly available online calculator was developed after validation and calibration were performed for individual risk assessment. The seven variables selected for inclusion in the model by magnitude of influence were prior vaginal delivery, maternal weight at delivery, maternal height, maternal age, prior cesarean delivery, gestational age at induction, and maternal race.
From 2012 to 2016, there were 19,844,580 live births in the United States, of which 4,177,644 women with singleton gestations underwent induction of labor. Among these women, 800,423 (19.2%) delivered by cesarean. The receiver operating characteristic curve for the seven-variable model achieved an area under the curve (AUC) of 0.787 (95% CI 0.786-0.788). External validation demonstrated a consistent measure of discrimination with an AUC of 0.783 (95% CI 0.764-0.802).
This validated predictive model uses seven variables that were obtainable from the patient's medical record and discriminates between women at increased or decreased risk of cesarean delivery after induction of labor. This risk calculator, found at https://ob.tools/iol-calc, can be used in addition to the Bishop score by health care providers in counseling women who are undergoing an induction of labor and allocating appropriate resources for women at high risk for cesarean delivery.
开发并验证一种预测行剖宫产术分娩的风险计算器,适用于接受引产的女性。
我们在美国开展了一项基于人群的队列研究,纳入了 2012 年至 2016 年间在妊娠 32 0/7 周到 42 6/7 周期间接受引产的所有单胎活产女性。主要目的是建立一种预测模型,该模型使用从美国活产记录中获取的产前因素来估计引产后的剖宫产概率。多变量逻辑回归估计了这些因素与剖宫产风险的关联。采用 K 折交叉验证对模型进行内部验证,然后使用 2017 年的另一个活产队列进行外部验证。在对个体风险评估进行验证和校准后,开发了一个可供公开访问的在线计算器。通过影响大小选择纳入模型的七个变量是既往阴道分娩、分娩时体重、产妇身高、产妇年龄、既往剖宫产、引产时的孕周和产妇种族。
2012 年至 2016 年,美国有 19844580 例活产,其中 4177644 例单胎妊娠女性接受了引产。在这些女性中,800423 例(19.2%)行剖宫产分娩。该七变量模型的受试者工作特征曲线的曲线下面积(AUC)为 0.787(95%CI 0.786-0.788)。外部验证表明,该模型具有一致的判别能力,AUC 为 0.783(95%CI 0.764-0.802)。
该验证后的预测模型使用了七个可从患者病历中获得的变量,可区分行引产的女性中具有增加或降低剖宫产风险的人群。该风险计算器可在 https://ob.tools/iol-calc 上获取,供医疗保健提供者在为接受引产的女性提供咨询以及为有较高剖宫产风险的女性分配适当资源时使用,可作为 Bishop 评分的补充。